****************************************************************************
* File-Nale: 		asian08.do
* Date:		 04/30/2018
* Author: 		Fred Batista
* Purpose: 		individual level analyses of knowledge
* Data used: 		asian08.dta
* Data Output:	Journal of Politics� paper	*/
****************************************************************************

*Variables:

*Sex - se002
*Country - country
*Urban/Rural - level3
*Age - se003a
*Religiosity - se007, seII7a
*Household Income - se009
*Subjective wealth - se017
*Education - se005, se005a
*Media Exposure - q057
*Political Interest - q056
*Political Discussions: qII52
*Political Efficacy - q126, q127
*Internet - qII66
*Marital Status - se004
*Housewife - se012a
*Number of Children - se008b
*Political Knowledge - q097_1, q097_2, q097_3
* Interviewers gender - ir002a
*Sample Weight - 


***** Recoding variables

tab country, gen (country)

gen woman = se002 - 1

gen man = 2 - woman

gen urban = level3

recode urban (1=1) (2=0) (3=.)

gen age = se003a

recode age (99=.)

gen age_sq = age*age

gen religiosity = 4- seII7a

recode religiosity (-3 -4 -5=.)

gen income=se009 - 1

recode income (96 97 98 =.)

gen education = se005a

recode education (41 90 97 98 99=.)

gen educlevel = se005 -1

recode educlevel (98=.)

gen subwealth = se017 - 1

recode subwealth (96 97 98=.)

gen exposure = q057 - 2

recode exposure (5 6 7=.)

gen internet = qII66

recode internet (1=5) (2=4) (3=3) (4=2) (5=1) (6=0) (0=0)(7 8 9=.)

gen interest = q056 -1

recode interest (6 7 8=.)

gen discussion = 3 - qII52

recode discussion (-4 -5 -6=.)

gen efficacy1 = 4 - q126

recode efficacy1 (-3 -4 -5=.)

gen efficacy2 = q127 - 1

recode efficacy2 (6 7 8=.)

pwcorr efficacy1 efficacy2, sig

gen efficacy = (efficacy1 + efficacy2)/2

gen married = se004

recode married (1=0) (2 3 4 5 6=1) (9=.)

gen housewife = se012a

recode housewife (6 7=1) (1 2 3 4 5=0) (8 9 10 80=.)

gen children = se008b

recode children (1=0) (2 3 4=1) (8 9=.)

gen woman_children = woman*children

gen woman_housewife = woman*housewife


* political knowledge variables

gen knowledge1 = q097_1

recode knowledge1 (101 102 103=.) (95 96 97 98 99 316 327 331 332 430 431 440 441 443 445 447 448 452 513 514 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 920 921 922 = 0) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 0.5) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=1)


gen knowledge2 = q097_2

recode knowledge2 (101 102 103=.) (95 96 97 98 99 316 327 331 332 430 431 432 440 441 443 445 447 448 452 513 514 518 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 713 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 912 920 921 922 = 0) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 326 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 0.5) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 218 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=1)


gen knowledge3 = q097_3

recode knowledge3 (101 102 103=.) (95 96 97 98 99 316 327 331 332 430 431 440 441 443 445 447 448 452 513 514 518 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 912 920 921 922 = 0) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 326 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 0.5) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 218 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=1)


gen sumknowledge = knowledge1 + knowledge2 + knowledge3

gen knowledge = sumknowledge*100/3


gen knowledge1_2 = q097_1

recode knowledge1_2 (95 101 102 103=.) (98 99=0) (96 97 316 327 331 332 430 431 440 441 443 445 447 448 452 513 514 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 920 921 922 = 1) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 2) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=2)


gen knowledge2_2 = q097_2

recode knowledge2_2 (95 101 102 103=.) (98 99=0) (96 97 316 327 331 332 430 431 432 440 441 443 445 447 448 452 513 514 518 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 713 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 912 920 921 922 = 1) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 326 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 2) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 218 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=2)


gen knowledge3_2 = q097_3

recode knowledge3_2 (95 101 102 103=.) (98 99=0) (96 97 316 327 331 332 430 431 440 441 443 445 447 448 452 513 514 518 519 532 533 535 536 538 540 620 621 622 623 624 625 626 630 631 632 633 634 635 636 640 641 642 650 651 652 660 700 710 711 712 721 722 723 724 725 810 811 812 813 814 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 840 850 910 911 912 920 921 922 = 1) (100 140 141 142 200 201 230 237 254 263 300 310 311 312 313 314 317 318 323 326 328 330 333 334 335 336 337 338 339 340 400 410 411 412 415 416 418 419 420 421 444 500 510 511 512 516 517 520 521 522 523 530 531 534 537 600 610 611 612 = 2) (110 111 120 121 122 130 131 132 133 134 202 203 210 211 212 213 214 215 216 217 218 220 221 222 223 231 232 233 234 235 236 238 239 240 241 250 251 252 253 255 256 260 261 262 320 321 322 324 325 329 413 414 451 453 515=2)


gen info1 = knowledge1

gen info2 = knowledge2

gen info3 = knowledge3

recode info1 info2 info3 (0.5 1=1) (0=0)


**** ANALYSES

* Item analyses

* discrimination

factor info1 info2 info3 [aweight = w_JP] if country==1, ml factor(1)

*factor info1 info2 info3 if country==2, ml factor(1)

factor info1 info2 info3 [aweight = w_KR] if country==3, ml factor(1)

*factor info1 info2 info3 [aweight = w_CN] if country==4, ml factor(1)

factor info1 info2 info3 [aweight = w_MN] if country==5, ml factor(1)

factor info1 info2 info3 [aweight = w_PH] if country==6, ml factor(1)

factor info1 info2 info3 [aweight = w_TW4] if country==7, ml factor(1)

factor info1 info2 info3 [aweight = w_TH] if country==8, ml factor(1)

factor info1 info2 info3 if country==9, ml factor(1)

factor info1 info2 info3 [aweight = w_SG] if country==10, ml factor(1)

factor info1 info2 info3 if country==11, ml factor(1)

factor info1 info2 info3 [aweight = w_KH] if country==12, ml factor(1)

factor info1 info2 info3 [aweight = w_MY] if country==13, ml factor(1)

* diffculty

summarize info1 info2 info3 [aweight = w_JP] if country==1

*summarize info1 info2 info3 if country==2

summarize info1 info2 info3 [aweight = w_KR] if country==3

summarize info1 [aweight = w_CN] if country==4

summarize info1 info2 info3 [aweight = w_MN] if country==5

summarize info1 info2 info3 [aweight = w_PH] if country==6

summarize info1 info2 info3 [aweight = w_TW4] if country==7

summarize info1 info2 info3 [aweight = w_TH] if country==8

summarize info1 info2 info3 if country==9

summarize info1 info2 info3 [aweight = w_SG] if country==10

summarize info1 info2 info3 if country==11

summarize info1 info2 info3 [aweight = w_KH] if country==12

summarize info1 info2 info3 [aweight = w_MY] if country==13


*** Japan

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1, base(2)

* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_JP] if country==1

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1, base(2)

* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_JP] if country==1, base(2)


*** Hong Kong

* no knowledge questions


*** South Korea

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_KR] if country==3

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3, base(2)

* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_KR] if country==3, base(2)


*** China (only info1 has enough observations) (housewife not available)

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 children [pweight = w_CN] if country==4

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 children [pweight = w_CN] if country==4

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 children [pweight = w_CN] if country==4, base(2)


*** Mongolia

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_MN] if country==5

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MN] if country==5, base(2)



*** Philippines (children not asked)

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife [pweight = w_PH] if country==6

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife [pweight = w_PH] if country==6, base(2)



*** Taiwan

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_TW4] if country==7

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7, base(2)

* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TW4] if country==7, base(2)

*** Thailand

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_TH] if country==8

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_TH] if country==8, base(2)



*** Indonesia

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children if country==9

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==9, base(2)


*** Singapore

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_SG] if country==10

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10

*mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_SG] if country==10, base(2)



*** Vietnam

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children if country==11

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children if country==11, base(2)



*** Cambodia (exposure not included) 

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12

probit info1 man urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12

probit info2 man urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2  housewife children [pweight = w_KH] if country==12

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12

probit info3 man urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest discussion efficacy1 efficacy2 housewife children [pweight = w_KH] if country==12, base(2)



*** Malaysia

* info1

khb probit info1 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13

probit info1 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13

mlogit knowledge1_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13, base(2)


* info2

khb probit info2 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13

probit info2 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2  housewife children [pweight = w_MY] if country==13

mlogit knowledge2_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13, base(2)


* info3

khb probit info3 man || urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13

probit info3 man urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13

mlogit knowledge3_2 woman urban age age_sq subwealth educlevel interest exposure discussion efficacy1 efficacy2 housewife children [pweight = w_MY] if country==13, base(2)
